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The Input is a short term JSON data object that is generated each time a message is sent to Cognigy.AI.

The input object contains general information about the message such as the Time the message was received and the Channel from where the message was sent. More specific results from the NLU intent mapping process are also available, such as the Intent that was selected, the Slots that were identified and many other useful pieces of information.

The input object is passed to the Project's Flow to decide on the next action to take. For more information about the lifespan of the input, see the CognigyScript page.

Intent Default Replies override flow logic

If an intent is configured with a default reply, this will override the agent's flow logic and automatically be delivered as the response.

Inspect the current Input object from the INFO tab of the Interaction Panel


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The Input object contains the following properties (for text input).

Key Description
activeQuestion This property is optional. Information on question execution when a question is active.
The following properties are available:
nodeId: The question node's ID.
type: The type of question
lastExecutedAt: Index of last execution.
forgetQuestionThreshold: Configured threshold to forget the question.
repromptCount: Count of reprompts.
escalationCount: Count of escalations.
channel The channel from which the message was received, for example, a Facebook endpoint has the value facebook.
For our more generic endpoint types like socket, webhook and rest, this value can be defined. This property will also be available in the OData records to enable channel based analytics filtering.
conditionalEntrypointWasExecuted A boolean variable that displays true if the flow was executed on a conditional node.
currentTime The timestamp of when the message was received by Cognigy.AI.
data The data object that was sent as a payload to the user input. This object can contain a request property that stores the original request from the external channel, for example, If a Facebook endpoint is used, will contain the original HTTP request content from Facebook.
endpointType The type of endpoint through which the message was received, for example, Alexa, Facebook (Meta), Dialogflow, etc. This value cannot be changed.
entrypoint This property varies based on Snapshot usage:
- The Project ID when no Snapshot is used.
- The Snapshot ID when a Snapshot is used.
execution The number of messages received so far in the current session.
flowName The name of the active flow which will process the input data and decide the next action to take.
inputId A unique ID that is generated for each message received by Cognigy.AI.
intent The detected Intent, can be null.
intentFlow The flow containing the detected intent.
intentLevel The matched Intent, per Intent Hierarchy level.
intentOutOfState If a state is active, this property contains the detected intent that has been excluded by the state.
intentScore The detected Intent's score.
language The locale language that was used to process the input message.
localeId The unique ID for the current locale used to process the input message.
mode The type of input received by Cognigy.AI. Can be either TextOnly or TextData.
nlu Contains the detailed NLU processing results. See NLU Properties for detailed information.
sessionId The current session ID. This is either provided by a channel or generated by Cognigy.AI. Most endpoints allow defining an individual session expiration (TTL).
slots Contains the detected slots ranging from automatic to custom lexicon libraries.
state The current state within the session. By default, it will contain the value default. Other states can be defined. See State for more information.
text The text of the message received.
traceId A unique identifier for the specific user input.
type The type of input sentence as determined by the NLU (Statement, Command, Greeting, BGreeting, whQuestion, howQuestion, ynQuestion, pAnswer, nAnswer) question States if a question was received as the input text and what type of question was asked.
understood A boolean flag which determines whether the NLU understood the users message. An input is counted as understood if an Intent or a Slot is found.
The input is marked as understood via the Code Node or Overwrite Analytics Node, or the type of sentence is pAnswer, nAnswer, or Greeting (if Confirmation Word logic is activated). In all other cases, it is marked as not understood, except if there is an active handover (without activation of an AI Copilot Flow) or a message has been explicitly marked as Don't count or Null.
URLToken A unique ID used to identify the specific endpoint.
userId The current user's ID. This is what Cognigy.AI uses to identify each user as a reference to their individual contact profile.
See Contact Profiles for more information.

NLU Properties

The detailed NLU results are published to the nlu variable which contains the following properties:

Key Description
detailedSlots Contains the detected slots ranging from automatic to custom lexicon libraries.
intentId A unique id assigned to the intent that was selected by the NLU.
intentFlow A unique id assigned to the flow containing the selected intent.
intentMapperResults Provides specific details about the NLU intent mapping results that includes a summary of the intent scoring for each of the trained intents located in the scores child property.
tokens Provides an array containing each word of the input sentence as a string element.

NLU Properties are available after NLU only

The below properties below are computed by the NLU Connector.

Consequently they are published after the NLU.

They are thus not available inside Cognigy NLU Rules and Conditions.

Properties written by the NLU into the Input:

  • intent
  • intentScore
  • nlu
  • type
  • intentLevel
  • localeId
  • understood
  • conditionalEntrypointWasExecuted

Accessing the Input Object

Flow nodes can dynamically access Input properties via Tokens or CognigyScript i.e. {{}}. The Cognigy Script used to access the input object follows the dot-notation property.child.child.

Example: {{input.text}} would return the text message that was sent to the Flow.

Copy JSON Path from the Input Object

You can copy the exact JSON path you need to reference a certain value in the Input object by right-clicking it and selecting "Copy JSON Path" from the context menu.

More Information